InMoment XI

OCTOBER 19, 2023

In a world where customer service and support are crucial to business success, the importance of an efficient and effective contact center cannot be overstated. The primary goal of a contact center is to ensure that customers receive timely and effective support. What are the Best Call Center Solutions?

Contact Center 273

Contact Center Customer Service Omni-Channel Call Center Solutions 273

Kayako

MAY 30, 2017

I have selected these videos because each one has influenced our customer relationships and deepened our understanding of how to provide better customer support. When companies hire employees who truly share the company’s vision—and then inspire and support them as they strive to meet this vision—magic happens. Be present.

Loyalty Programs 184

Loyalty Programs e-support Self Service Video 184

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 2: Data enrichment and insights.

Insurance 98

Insurance Analytics Industry e-support 98

AWS Machine Learning

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. The system is capable of processing images, large PDF, and documents in other format and answering questions derived from the content via interactive text or voice inputs.

Banking 98

Banking System Insurance Interaction 98

AWS Machine Learning

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

Insurance 121

Insurance e-support Training Policies 121

AWS Machine Learning

NOVEMBER 20, 2023

A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

e-support 123

e-support Entertainment Data Resources 123

InMoment XI

NOVEMBER 26, 2024

Example: A retail company maps out how a customer currently shops on its e-commerce platform and identifies the complex checkout process as an area of improvement to improve the e-commerce customer experience. These could include the website, customer support portal, social media, and more.

Customer Journeys 195

Customer Journeys Customer Experience Strategy Touchpoint 195

Kustomer

AUGUST 24, 2021

The nature of the customer experience within e-commerce has never been more vital to the life of a brand than it is at this moment. While e-commerce (buying over the internet) has been growing in leaps and bounds before the pandemic, online shopping quite simply exploded in 2020.

e-support 114

e-support Customer Experience Self Service Omni-Channel 114

InMoment XI

NOVEMBER 7, 2024

You want to ensure that interactions, whether from emails, SMS messages, chatbots, live support, or any other channel, are connected and tested before the user encounters them. This reduces response times and allows support teams to focus on complex issues. Orchestration refers to creating a cohesive and smooth customer journey.

Customer Experience 195

Customer Experience Customer Journeys CRM e-support 195

AWS Machine Learning

JANUARY 22, 2025

For an example of how to create a travel agent, refer to Agents for Amazon Bedrock now support memory retention and code interpretation (preview). As you can see, now with the multi-turn support in Flows, our agent node is able to ask follow-up questions to gather all information and make the booking.

Travel 129

Travel Hotels e-support Examples 129

AWS Machine Learning

DECEMBER 29, 2022

Documents are a primary tool for record keeping, communication, collaboration, and transactions across many industries, including financial, medical, legal, and real estate. The millions of mortgage applications and hundreds of millions of W2 tax forms processed each year are just a few examples of such documents.

Self Service 119

Self Service Insurance Banking e-support 119

AWS Machine Learning

FEBRUARY 12, 2025

Flexible implementation : The system supports the evaluation of models hosted on Amazon Bedrock, custom fine-tuned models, and imported models. Both of these fields need to have enough quota to support your Provisioned Throughput model unit. Model units per provisioned model for [your custom model name]. 0]}-{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}"

e-support 100

e-support Comparison Metrics Analysis 100

Kustomer

JUNE 8, 2021

The world is rapidly changing and that’s good news for businesses in the e-commerce space. This means it’s more crucial than ever to focus on the e-commerce customer service experience. These new statistics mean there’s a lot of room for growth in the e-commerce sector. What Is E-Commerce Customer Service?

Customer Service 100

Customer Service e-support Self Service Omni-Channel 100

ijgolding

AUGUST 20, 2017

It has been well documented by me and other Customer Experience thought leaders, that one of the major barriers to achieve a sustainable focus on Customer Experience is a lack of cross functional collaboration. e) As a leader, are you measuring AND acting on Voice of the Business, Voice of the Customer AND Voice of the Employee?

Customer Centricity 209

Customer Centricity e-support Leadership Measurement 209

AWS Machine Learning

MARCH 13, 2024

Although voice and text chat often support friendly banter, it can also lead to problems such as hate speech, cyberbullying, harassment, and scams. Furthermore, the knowledge base includes the referenced policy documents used by the evaluation, providing moderators with additional context.

Policies 134

Policies Knowledge Base Analysis e-support 134

AWS Machine Learning

FEBRUARY 6, 2024

Providing excellent IT support is crucial for any organization, but legacy systems have relied heavily on human agents being available to intake reports and triage issues. You can use response bots and the document chaining capabilities of QnABot to achieve this capability. The ticket number is then returned to the user.

Self Service 132

Self Service Chatbots e-support Software 132

AWS Machine Learning

APRIL 19, 2024

This solution includes the following components: Amazon Titan Text Embeddings is a text embeddings model that converts natural language text, including single words, phrases, or even large documents, into numerical representations that can be used to power use cases such as search, personalization, and clustering based on semantic similarity.

e-support 123

e-support Innovation Data Policies 123

AWS Machine Learning

JULY 18, 2023

In the blog post titled Enhance Amazon Lex with conversational FAQ features using LLMs , we demonstrated how you can use a combination of Amazon Lex and LlamaIndex to build a chatbot powered by your existing knowledge sources, such as PDF or Word documents. text response = self._html2text.html2text(response)

Policies 98

Policies e-support Chatbots Resources 98

Kustomer

MARCH 10, 2021

In this month’s edition, we discuss how a business was able to easily style their auto response e-mails, how integrating data powers a better agent experience, and the power of intelligent routing to get urgent issues solved more quickly. It’s fast, easy to learn, well supported across platforms, and translates flawlessly to HTML.

e-support 98

e-support System Resources Data 98

AWS Machine Learning

SEPTEMBER 25, 2024

The vision-based use cases that we discuss in this post include document visual question answering, extracting structured entity information from images, and image captioning. The 11B and 90B models are multimodal—they support text in/text out, and text+image in/text out. The Llama 3.2 Overview of Llama 3.2 Overview of Llama 3.2

e-support 92

e-support Ecommerce Trends Financial 92

AWS Machine Learning

FEBRUARY 29, 2024

If a distinctive keyword appears more frequently in a document, BM-25 assigns a higher relevance score to that document. Amazon Personalize supports the automatic adjustment of recommendations based on contextual information about your user, such as device type, location, time of day, or other information you provide.

e-support 125

e-support Resources Comparison Data 125

AWS Machine Learning

AUGUST 17, 2022

The AWS website is currently available in 16 languages (12 for the AWS Management Console and for technical documentation): Arabic, Chinese Simplified, Chinese Traditional, English, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Russian, Spanish, Thai, Turkish, and Vietnamese. How AWSLOC uses Amazon Translate.

e-support 98

e-support Exercises Insurance Analytics 98

AWS Machine Learning

MAY 31, 2024

It supports large-scale analysis and collaborative research through HealthOmics storage, analytics, and workflow capabilities. SageMaker notably supports popular deep learning frameworks, including PyTorch, which is integral to the solutions provided here. e-]*)"}, {"Name": "train_perplexity", "Regex": "Train Perplexity: ([0-9.e-]*)"},

Training 115

Training e-support Healthcare Analysis 115

AWS Machine Learning

NOVEMBER 10, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents. Note that DetectToxicContent is a new API, whereas ClassifyDocument is an existing API that now supports prompt safety classification.

Chatbots 126

Chatbots e-support Examples Data 126

TechSee

JANUARY 29, 2019

In recent years, a wide range of AI technologies have been successfully integrated into the CRM domain, from sales and marketing to customer support and retention. Early adopters of computer vision have already made great strides in the retail and e-commerce space. Enterprise adoption of AI in CRM. Next Step: Computer Vision Training.

CRM 164

CRM Self Service Effort Score e-support 164

TechSee

JANUARY 8, 2019

With e-commerce and digital banking/, insurance becoming increasingly popular, resolving billing issues and contract payments is becoming a massive challenge for customer service centers. The session can also be recorded for documentation purposes.

Engagement 167

Engagement How To Video e-support 167

AWS Machine Learning

JANUARY 30, 2024

This event in the SQS queue acts as a trigger to run the OSI pipeline, which in turn ingests the data (JSON file) as documents into the OpenSearch Serverless index. In File Browser , traverse to the notebooks folder to see the notebooks and supporting files. The notebooks are numbered in the sequence in which they’re run.

e-support 130

e-support Data Policies Interaction 130

AWS Machine Learning

FEBRUARY 8, 2024

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. Send a pending documents reminder to the policy holder of claim 2s34w-8x. The workflow consists of the following steps: Users provide natural language inputs to the agent.

Knowledge Base 139

Knowledge Base Insurance Policies Groups 139

Optimove

JUNE 1, 2023

A well-documented battle of egos, bonuses, and, ultimately, optimization. But what is the journey of a customer in e-commerce? The customer journey in e-commerce refers to the process a potential buyer goes through, from initial awareness to making a purchase decision.

Customer Journeys 98

Customer Journeys e-support Marketing Touchpoint 98

Totango

JULY 31, 2020

Prevent churn related to overly complicated setup, poor customer support, and other negative onboarding experiences. During onboarding, your customers will see their first real-life demonstration of how effectively your software can help ease pain points and support their goals. Right Value, Right Time.

Hospitality 127

Hospitality e-support Healthcare Touchpoint 127

AWS Machine Learning

NOVEMBER 21, 2024

This solution efficiently handles documents that include both text and images, significantly enhancing VW’s knowledge management capabilities within their production domain. This multimodal interaction is crucial for applications that require extracting insights from complex documents containing both textual content and images.

Management 81

Management e-support System Innovation 81

AWS Machine Learning

APRIL 25, 2024

Government agencies summarize lengthy policy documents and reports to help policymakers strategize and prioritize goals. By creating condensed versions of long, complex documents, summarization technology enables users to focus on the most salient content. This leads to better comprehension and retention of critical information.

Effort Score 132

Effort Score Metrics Comparison Measurement 132

AWS Machine Learning

FEBRUARY 10, 2025

These services support single GPU to HyperPods (cluster of GPUs) for training and include built-in FMOps tools for tracking, debugging, and deployment. Hugging Face LLMs can be hosted on SageMaker using a variety of supported frameworks, such as NVIDIA Triton, vLLM, and Hugging Face TGI. Response parsing Code.

Multi-Channel 113

Multi-Channel e-support Tools System 113

AWS Machine Learning

JULY 3, 2024

Amazon Textract : for documents parsing, text, and layout extraction. Amazon Bedrock : to interact with supported LLMs and embedding models. Amazon Simple Storage Service (S3) : for documents and processed data caching. In step 5, the lambda function triggers the Amazon Textract to parse and extract data from pdf documents.

Healthcare 130

Healthcare Guidelines Innovation System 130

TechSee

APRIL 30, 2019

The agent asks for basic health information and requests copies of their e-ticket and passport, explaining that they will gather the data they need from the documentation, with no further questions necessary. Lower overall support costs. The representative emails them their options.

Effort Score 126

Effort Score Self Service Customer Service Representative Travel 126

AWS Machine Learning

JULY 25, 2024

This insurance claim processing agent is expected to handle various tasks, such as creating new claims, sending reminders for pending documents related to open claims, gathering evidence for claims, and searching for relevant information across existing claims and customer knowledge repositories. For this post, we use an Amazon Bedrock agent.

Insurance 132

Insurance e-support User Experience Interaction 132

AWS Machine Learning

SEPTEMBER 5, 2023

ResourceId=resource_id, # Endpoint name ScalableDimension="sagemaker:variant:DesiredInstanceCount", # SageMaker supports only Instance Count PolicyType="TargetTrackingScaling", # 'StepScaling'|'TargetTrackingScaling' TargetTrackingScalingPolicyConfiguration={ "TargetValue": 5.0, # The target value for the metric. import boto3 client = boto3.client("application-autoscaling")

Policies 121

Policies e-support Metrics Resources 121